The rapid increase of sensor devices in the industrial realm has created a wealth of data. These sensors can report on a host of conditions, including temperature, moisture, pressure, the working order of a given component or even raw video images.
Each day, new machines, sensors and devices come online, feeding new information into data systems for analytics. The new insights can drive significant operational improvements, but a robust analytic data pipeline that incorporates IoT data is critical to making this possible.
Join us as we discuss:
Drivers for IoT adoption and desired business outcomes.
Data challenges created by IoT.
How to build an analytics data pipeline that addresses IoT data challenges.